Triple
T33533348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taliesin West |
E858854
|
entity |
| Predicate | functionDuringWrightsLife |
P122857
|
FINISHED |
| Object | Frank Lloyd Wright’s winter residence |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Frank Lloyd Wright’s winter residence | Statement: [Taliesin West, functionDuringWrightsLife, Frank Lloyd Wright’s winter residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringWrightsLife Context triple: [Taliesin West, functionDuringWrightsLife, Frank Lloyd Wright’s winter residence]
-
A.
functionDuringEnlightenment
Indicates that an entity performs or exists in a particular function, role, or operational state specifically during the period of Enlightenment.
-
B.
functionDuringRevolution
Indicates that an entity performs or serves a particular function specifically during a revolutionary period or event.
-
C.
functionDuringPeriod
chosen
Indicates that a function, role, or activity is performed or valid throughout a specified time period.
-
D.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
E.
functionDuringWedding
Indicates that an entity performs a specific role or function in the context of a wedding event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:39 a.m.